FungiProteomeDB

FungiProteomeDB provides molecular weight (MW) and isoelectric point (pI) data for fungal proteins to support proteomic analyses across the fungal kingdom.


Key Features:

  • Extensive Data Coverage: Contains protein sequence data from 685 fungal species totaling over 7 million protein sequences.
  • Calculated Molecular Weight and Isoelectric Point: Computes and stores precise molecular weight (MW) and isoelectric point (pI) values for each protein sequence.
  • Virtual 2D Proteome Map Visualization: Plots proteins by pI and MW to generate virtual 2D proteome maps for cross-species comparison of proteome diversity.
  • Proteomics-relevant Metrics: Provides MW and pI parameters applicable to experimental techniques such as 2D gel electrophoresis, liquid chromatography–mass spectrometry (LC-MS), and X-ray crystallography.

Scientific Applications:

  • Comparative Proteomics and Evolutionary Analysis: Enables comparison of proteome diversity across fungal species to infer evolutionary relationships and functional adaptations.
  • Experimental Proteomics Planning: Informs design and interpretation of 2D gel electrophoresis, LC-MS, and X-ray crystallography experiments by supplying MW and pI data.
  • Drug Discovery and Enzyme Engineering: Supports identification and characterization of candidate proteins for drug discovery and enzyme engineering using proteome-wide physicochemical properties.
  • Pathogenesis Studies: Aids investigation of fungal pathogenic mechanisms by providing proteomic parameters for candidate virulence factors and related proteins.

Methodology:

Molecular weight (MW) and isoelectric point (pI) values were calculated computationally for the included fungal protein sequences.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
10/1/2023
Last Updated:
11/24/2024

Operations

Publications

Rashid M, Omar M, Mohanta TK. FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes. Database. 2023;2023. doi:10.1093/database/baad004. PMID:36929177. PMCID:PMC10019025.

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